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@@ -32,6 +32,12 @@ The audited implementations and completed results are in `RESULTS.md`:
stochastic update vanishes sample-by-sample at Q=W; the extra feedback
prediction convolution is included in MAC accounting. It is also an
inherited learned-alignment control;
+- modified Kolen--Pollack (`kp`) is the reciprocal local-plasticity baseline of
+ Akrout et al. Forward and feedback synapses independently recompute the same
+ correlation from their own local activity pair and use matched optimizer and
+ decay dynamics. The feedback update never reads W or its update. A separate
+ reciprocal correlation is charged in the MAC audit; `KP_BASELINE.md` freezes
+ its staged ResNet gate before any KP task endpoint;
- direct node perturbation uses a causal target on every hidden update and no
learned vectorizer;
- the no-traffic, `P=0` SDIL backbone is learned direct feedback by node